AIMC Topic: Galvanic Skin Response

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Stress State Classification Based on Deep Neural Network and Electrodermal Activity Modeling.

Sensors (Basel, Switzerland) Feb 23, 2023
Electrodermal Activity (EDA) has become of great interest in the last several decades, due to the advent of new devices that allow for recording a lot of psychophysiological data for remotely monitoring patients' health. In this work, a novel method ...
Anxiety Emotions Galvanic Skin Response Neural Networks, Computer Machine Learning Humans
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Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition.

Sensors (Basel, Switzerland) Feb 9, 2023
Artificial intelligence and especially deep learning methods have achieved outstanding results for various applications in the past few years. Pain recognition is one of them, as various models have been proposed to replace the previous gold standard...
Research Pain Galvanic Skin Response Neural Networks, Computer Artificial Intelligence Humans
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Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.

Sensors (Basel, Switzerland) Nov 17, 2022
This article introduces a systematic review on arousal classification based on electrodermal activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six scientific databases, fifty-nine were finally selected accordi...
Machine Learning Support Vector Machine Galvanic Skin Response Arousal Neural Networks, Computer
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Toward Mental Effort Measurement Using Electrodermal Activity Features.

Sensors (Basel, Switzerland) Sep 28, 2022
The ability to monitor mental effort during a task using a wearable sensor may improve productivity for both work and study. The use of the electrodermal activity (EDA) signal for tracking mental effort is an emerging area of research. Through analys...
Humans Machine Learning Heart Rate Galvanic Skin Response Algorithms Monitoring, Physiologic
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Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning.

IEEE transactions on bio-medical engineering Dec 23, 2021
Pain assessment in children continues to challenge clinicians and researchers, as subjective experiences of pain require inference through observable behaviors, both involuntary and deliberate. The presented approach supplements the subjective self-r...
Machine Learning Algorithms Child Humans Galvanic Skin Response Pain Measurement Pain
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A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals.

Big data Nov 30, 2021
Mental illness issues are a very common health issue in youths and adults across the world. The usage of real-time data analytics in health care has a great potential to improve and enhance the quality of health care services, including diagnosis and...
Galvanic Skin Response Neural Networks, Computer Machine Learning Adolescent Electrocardiography Students Humans
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Exploration of physiological sensors, features, and machine learning models for pain intensity estimation.

PloS one Jul 9, 2021
In current clinical settings, typically pain is measured by a patient's self-reported information. This subjective pain assessment results in suboptimal treatment plans, over-prescription of opioids, and drug-seeking behavior among patients. In the p...
Galvanic Skin Response Algorithms Humans Physiology Models, Theoretical Machine Learning Generalization, Stimulus Pain
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Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Electrodiagnosis Pain Perception Pain Threshold Galvanic Skin Response Humans Machine Learning Reproducibility of Results Young Adult Female Skin Feasibility Studies Signal Processing, Computer-Assisted Hot Temperature Sympathetic Nervous System Pain Severity of Illness Index Predictive Value of Tests Pain Measurement Adult Male
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Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees.

Sensors (Basel, Switzerland) May 28, 2021
The theory of modern organizations considers emotional intelligence to be the metric for tools that enable organizations to create a competitive vision. It also helps corporate leaders enthusiastically adhere to the vision and energize organizational...
Arousal Galvanic Skin Response Algorithms Emotions Humans Neural Networks, Computer
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Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study.

JMIR mHealth and uHealth May 5, 2021
BACKGROUND: Accurate, objective pain assessment is required in the health care domain and clinical settings for appropriate pain management. Automated, objective pain detection from physiological data in patients provides valuable information to hosp...
Pain Measurement Pain Galvanic Skin Response Adult Middle Aged Humans Aged Aged, 80 and over Young Adult Machine Learning Algorithms
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